About The Position

Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple! To build the best speech recognition models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional 'data processing' and 'model training'. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprecedented volumes of data. By joining our team, you'll have the opportunity to work with large and diverse datasets, iterate with research and production teams, and deliver voice based experiences to millions of users worldwide. The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply machine learning and deep learning techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management.

Requirements

  • M.S. or Ph.D. degree in Computer Science, or equivalent experience
  • Knowledge of JAX, PyTorch
  • Deep knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray)
  • Strong software engineering abilities, ideally C++ and/or Java and/or Python
  • Real passion for building research demo prototypes and turning them into production quality design/implementation
  • Strong interpersonal skills to work well with engineering teams
  • Excellent problem solving and critical thinking
  • Ability to work in a fast-paced environment with rapidly changing priorities
  • Passionate about building extraordinary products and experiences for our users

Responsibilities

  • Work with open source tools like PyTorch, Jax, Ray and others
  • Run data based ablation studies
  • Use open source or train models to extract signals from large volumes of speech data to drive modeling improvements

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What This Job Offers

Industry

Computer and Electronic Product Manufacturing

Education Level

Master's degree

Number of Employees

5,001-10,000 employees

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